{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n",
      "2021-02-12 23:41:05.554 [HKU-I] - Using SQLITE3 BaseInfoDriver (BaseInfoDriver.cpp:58)\n",
      "2021-02-12 23:41:05.556 [HKU-I] - Loading market information... (StockManager.cpp:503)\n",
      "2021-02-12 23:41:05.557 [HKU-I] - Loading stock type information... (StockManager.cpp:516)\n",
      "2021-02-12 23:41:05.558 [HKU-I] - Loading stock information... (StockManager.cpp:424)\n",
      "2021-02-12 23:41:05.650 [HKU-I] - Loading stock weight... (StockManager.cpp:533)\n",
      "2021-02-12 23:41:07.196 [HKU-I] - Loading KData... (StockManager.cpp:139)\n",
      "2021-02-12 23:41:07.202 [HKU-I] - Preloading all day kdata to buffer! (StockManager.cpp:162)\n",
      "2021-02-12 23:41:07.229 [HKU-I] - 0.03s Loaded Data. (StockManager.cpp:150)\n",
      "Wall time: 3.07 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive import *\n",
    "iodog.open()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 一、策略分析\n",
    "\n",
    "## 原始描述\n",
    "\n",
    "买入条件：周线MACD零轴下方底部金叉买入30%\n",
    "\n",
    "卖出条件：日线级别 跌破 20日线 卖出50%持仓\n",
    "\n",
    "\n",
    "## 策略分析\n",
    "\n",
    "市场环境：无\n",
    "\n",
    "系统有效性：无\n",
    "\n",
    "信号指示器：\n",
    "- 买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入（快线：DIF，慢线DEA）\n",
    "- 卖出信号：日线级别 跌破 20日均线\n",
    "\n",
    "止损/止盈：无\n",
    "\n",
    "资金管理：\n",
    "- 买入：30% （不明确，暂且当做当前现金的30%）\n",
    "- 卖出：已持仓股票数的50%\n",
    "\n",
    "盈利目标：\n",
    "\n",
    "移滑价差：\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 二、实现系统部件\n",
    "\n",
    "## 定义信号指示器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNextWeekDate(week):\n",
    "    \"\"\"获取指定日期的下一周周一日期\"\"\"\n",
    "    from datetime import timedelta\n",
    "    py_week = week.datetime()\n",
    "    next_week_start = py_week + timedelta(days = 7 - py_week.weekday())\n",
    "    return Datetime(next_week_start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def DEMO_SG(self):\n",
    "    \"\"\"\n",
    "    买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入\n",
    "    卖出信号：日线级别 跌破 20日均线\n",
    "    \n",
    "    参数：\n",
    "    week_macd_n1：周线dif窗口\n",
    "    week_macd_n2: 周线dea窗口\n",
    "    week_macd_n3: 周线macd平滑窗口\n",
    "    day_n: 日均线窗口\n",
    "    \"\"\"\n",
    "    k = self.to\n",
    "    if (len(k) == 0):\n",
    "        return\n",
    "    \n",
    "    stk = k.get_stock()\n",
    "    \n",
    "    #-----------------------------\n",
    "    #计算日线级别的卖出信号        \n",
    "    #-----------------------------\n",
    "    day_c = CLOSE(k)\n",
    "    day_ma = MA(day_c, self.get_param(\"day_n\"))\n",
    "    day_x = day_c < day_ma  #收盘价小于均线\n",
    "    for i in range(day_x.discard, len(day_x)):\n",
    "        if day_x[i] >= 1.0:\n",
    "            self._add_sell_signal(k[i].datetime)\n",
    "\n",
    "    #-----------------------------\n",
    "    #计算周线级别的买入信号        \n",
    "    #-----------------------------\n",
    "    week_q = Query(k[0].datetime, k[-1].datetime.next_day(), ktype=Query.WEEK)\n",
    "    week_k = k.get_stock().get_kdata(week_q)\n",
    "    \n",
    "    n1 = self.get_param(\"week_macd_n1\")\n",
    "    n2 = self.get_param(\"week_macd_n2\")\n",
    "    n3 = self.get_param(\"week_macd_n3\")\n",
    "    m = MACD(CLOSE(week_k), n1, n2, n3)\n",
    "    fast = m.get_result(0)\n",
    "    slow = m.get_result(1)\n",
    "    \n",
    "    discard = m.discard if m.discard > 1 else 1\n",
    "    for i in range(discard, len(m)):\n",
    "        if (fast[i-1] < slow[i-1] and fast[i] > slow[i]):\n",
    "            #当周计算的结果，只能作为下周一的信号\n",
    "            self._add_buy_signal(week_k[i].datetime.next_week())\n",
    "         "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义资金管理策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DEMO_MM(MoneyManagerBase):\n",
    "    \"\"\"\n",
    "    买入：30% （不明确，暂且当做当前现金的30%）\n",
    "    卖出：已持仓股票数的50%\n",
    "    \"\"\"\n",
    "    def __init__(self):\n",
    "        super(DEMO_MM, self).__init__(\"MACD_MM\")\n",
    "        \n",
    "    def _reset(self):\n",
    "        pass\n",
    "    \n",
    "    def _clone(self):\n",
    "        return DEMO_MM()\n",
    "        \n",
    "    def _get_buy_num(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.tm\n",
    "        cash = tm.current_cash\n",
    "        \n",
    "        #可以不用考虑最小交易单位的问题，已经自动处理\n",
    "        #num = int((cash * 0.3 // price // stk.atom) * stk.atom)\n",
    "        return int(cash*0.3/price) #返回类型必须是int\n",
    "    \n",
    "    def _get_sell_num(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.tm\n",
    "        position = tm.get_position(stk)\n",
    "        total_num = position.number\n",
    "        num = int(total_num * 0.5)\n",
    "        return num if num >= 100 else 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 三、构建并运行系统\n",
    "\n",
    "## 设定系统参数\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#账户参数\n",
    "init_cash = 100000 #账户初始资金\n",
    "init_date = Datetime('1990-1-1') #账户建立日期\n",
    "\n",
    "#信号指示器参数\n",
    "week_n1 = 12\n",
    "week_n2 = 26\n",
    "week_n3 = 9\n",
    "day_n = 20\n",
    "\n",
    "#选定标的，及测试区间\n",
    "stk = sm['sz000001']\n",
    "start_date = Datetime('2017-01-01')  #如果是同一级别K线，可以使用索引号，使用了不同级别的K线数据，建议还是使用日期作为参数\n",
    "end_date = Datetime()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 构建系统实例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#创建账户\n",
    "my_tm = crtTM(date=init_date, init_cash = init_cash, cost_func=TC_FixedA())\n",
    "\n",
    "#创建系统实例\n",
    "my_sys = SYS_Simple()\n",
    "\n",
    "#绑定账户\n",
    "my_sys.tm = my_tm\n",
    "\n",
    "#绑定信号指示器\n",
    "my_sys.sg = crtSG(DEMO_SG, \n",
    "              {'week_macd_n1': week_n1, 'week_macd_n2': week_n2, 'week_macd_n3': week_n3, 'day_n': day_n}, \n",
    "                'DEMO_SG') \n",
    "my_sys.sg.set_param('alternate', False)\n",
    "\n",
    "#绑定资金管理策略\n",
    "my_sys.mm = DEMO_MM()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 运行系统"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "iodog.close()\n",
    "q = Query(start_date, end_date, ktype=Query.DAY)\n",
    "my_sys.run(stk, q)\n",
    "\n",
    "#将交易记录及持仓情况，保存在临时目录，可用Excel查看\n",
    "#临时目录一般设置在数据所在目录下的 tmp 子目录\n",
    "#如果打开了excel记录，再次运行系统前，记得先关闭excel文件，否则新的结果没法保存\n",
    "my_tm.tocsv(sm.tmpdir())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 四、查看资金曲线及绩效统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制资金收益曲线（净收益）\n",
    "x = my_tm.get_profit_curve(stk.get_datetime_list(q), Query.DAY)\n",
    "#x = my_tm.getFundsCurve(stk.getDatetimeList(q), KQuery.DAY) #总资产曲线\n",
    "x = PRICELIST(x)\n",
    "x.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "帐户初始金额: 100000.00\n",
      "累计投入本金: 100000.00\n",
      "累计投入资产: 0.00\n",
      "累计借入现金: 0.00\n",
      "累计借入资产: 0.00\n",
      "累计红利: 0.00\n",
      "现金余额: 98258.95\n",
      "未平仓头寸净值: 4387.68\n",
      "当前总资产: 102646.63\n",
      "已平仓交易总成本: 0.00\n",
      "已平仓净利润总额: 0.00\n",
      "单笔交易最大占用现金比例%: 29.68\n",
      "交易平均占用现金比例%: 29.45\n",
      "已平仓帐户收益率%: 0.00\n",
      "帐户年复合收益率%: 0.70\n",
      "帐户平均年收益率%: 0.71\n",
      "赢利交易赢利总额: 0.00\n",
      "亏损交易亏损总额: 0.00\n",
      "已平仓交易总数: 0.00\n",
      "赢利交易数: 0.00\n",
      "亏损交易数: 0.00\n",
      "赢利交易比例%: 0.00\n",
      "赢利期望值: 0.00\n",
      "赢利交易平均赢利: 0.00\n",
      "亏损交易平均亏损: 0.00\n",
      "平均赢利/平均亏损比例: 0.00\n",
      "净赢利/亏损比例: 0.00\n",
      "最大单笔赢利: 0.00\n",
      "最大单笔亏损: 0.00\n",
      "赢利交易平均持仓时间: 0.00\n",
      "赢利交易最大持仓时间: 0.00\n",
      "亏损交易平均持仓时间: 0.00\n",
      "亏损交易最大持仓时间: 0.00\n",
      "空仓总时间: 1369.00\n",
      "空仓时间/总时间%: 100.00\n",
      "平均空仓时间: 1369.00\n",
      "最长空仓时间: 1368.00\n",
      "最大连续赢利笔数: 0.00\n",
      "最大连续亏损笔数: 0.00\n",
      "最大连续赢利金额: 0.00\n",
      "最大连续亏损金额: 0.00\n",
      "R乘数期望值: 0.00\n",
      "交易机会频率/年: 0.00\n",
      "年度期望R乘数: 0.00\n",
      "赢利交易平均R乘数: 0.00\n",
      "亏损交易平均R乘数: 0.00\n",
      "最大单笔赢利R乘数: 0.00\n",
      "最大单笔亏损R乘数: 0.00\n",
      "最大连续赢利R乘数: 0.00\n",
      "最大连续亏损R乘数: 0.00\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#回测统计\n",
    "per = Performance()\n",
    "print(per.report(my_tm, Datetime.now()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 五、或许想看下图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_sys.plot()\n",
    "MA(CLOSE(my_sys.to), 20).plot(new=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 六、或许想看看所有股票的情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 26 s\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "def calTotal(blk, q):\n",
    "    per = Performance()\n",
    "    s_name = []\n",
    "    s_code = []\n",
    "    x = []\n",
    "    for stk in blk:\n",
    "        my_sys.run(stk, q)\n",
    "        per.statistics(my_tm, Datetime.now())\n",
    "        s_name.append(stk.name)\n",
    "        s_code.append(stk.market_code)\n",
    "        x.append(per[\"当前总资产\"])\n",
    "    return pd.DataFrame({'代码': s_code, '股票': s_name, '当前总资产': x})\n",
    "\n",
    "%time data = calTotal(blocka, q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>股票</th>\n",
       "      <th>当前总资产</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SH600770</td>\n",
       "      <td>综艺股份</td>\n",
       "      <td>97967.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SZ000532</td>\n",
       "      <td>华金资本</td>\n",
       "      <td>100327.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SZ300238</td>\n",
       "      <td>冠昊生物</td>\n",
       "      <td>100177.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SH601777</td>\n",
       "      <td>*ST力帆</td>\n",
       "      <td>97860.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SH600781</td>\n",
       "      <td>*ST辅仁</td>\n",
       "      <td>99203.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SH600671</td>\n",
       "      <td>*ST目药</td>\n",
       "      <td>99765.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SZ002888</td>\n",
       "      <td>惠威科技</td>\n",
       "      <td>101570.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SH603599</td>\n",
       "      <td>广信股份</td>\n",
       "      <td>101541.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SH600086</td>\n",
       "      <td>退市金钰</td>\n",
       "      <td>97989.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SH600363</td>\n",
       "      <td>联创光电</td>\n",
       "      <td>109619.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         代码     股票      当前总资产\n",
       "0  SH600770   综艺股份   97967.51\n",
       "1  SZ000532   华金资本  100327.40\n",
       "2  SZ300238   冠昊生物  100177.22\n",
       "3  SH601777  *ST力帆   97860.60\n",
       "4  SH600781  *ST辅仁   99203.00\n",
       "5  SH600671  *ST目药   99765.39\n",
       "6  SZ002888   惠威科技  101570.68\n",
       "7  SH603599   广信股份  101541.21\n",
       "8  SH600086   退市金钰   97989.26\n",
       "9  SH600363   联创光电  109619.89"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#保存到CSV文件\n",
    "#data.to_csv(sm.tmpdir() + '/统计.csv')\n",
    "data[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Trade(+infinity, , , UNKNOWN, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, --)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iodog.close()\n",
    "my_tm.buy(Datetime(201906160000), sm['sz000001'], 10, 10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
